{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RJNRIX236X6ABJSJ2QKMH6XGOU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3a0af42df79bc1d55bbdf27b93cadd92cb7d2ea7cb69dee3f3bda9e80b201b51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-15T17:05:21Z","title_canon_sha256":"bd37e3a78038d938623af03df168aceff8ddf43abdcb1ae6ee040c2951770b6f"},"schema_version":"1.0","source":{"id":"2505.10502","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.10502","created_at":"2026-07-05T11:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2505.10502v2","created_at":"2026-07-05T11:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.10502","created_at":"2026-07-05T11:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"RJNRIX236X6A","created_at":"2026-07-05T11:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"RJNRIX236X6ABJSJ","created_at":"2026-07-05T11:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"RJNRIX23","created_at":"2026-07-05T11:04:01Z"}],"graph_snapshots":[{"event_id":"sha256:b5e7d0b568959f45314c9c6d1bc0abc1c323f490e7d7666336a6b3de65c455e3","target":"graph","created_at":"2026-07-05T11:04:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2505.10502/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate lymph node metastasis (LNM) assessment in rectal cancer is essential for treatment planning, yet current MRI-based evaluation shows unsatisfactory accuracy, leading to suboptimal clinical decisions. Developing automated systems also faces significant obstacles, primarily the lack of node-level annotations. Previous methods treat lymph nodes as isolated entities rather than as an interconnected system, overlooking valuable spatial and contextual information. To solve this problem, we present WeGA, a novel weakly-supervised global-local affinity learning framework that addresses these c","authors_text":"Chaoyang Ge, Feng Yuan, Haoyue Li, Jiaxi Sheng, Wenbin Wu, Xin Gao, Yaoxian Dong, Yifan Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-15T17:05:21Z","title":"WeGA: Weakly-Supervised Global-Local Affinity Learning Framework for Lymph Node Metastasis Prediction in Rectal Cancer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.10502","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:702e62bc99ce7ba50427f404608f3607f59d56a6a01b886b4b44c1e5e733b421","target":"record","created_at":"2026-07-05T11:04:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"3a0af42df79bc1d55bbdf27b93cadd92cb7d2ea7cb69dee3f3bda9e80b201b51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-15T17:05:21Z","title_canon_sha256":"bd37e3a78038d938623af03df168aceff8ddf43abdcb1ae6ee040c2951770b6f"},"schema_version":"1.0","source":{"id":"2505.10502","kind":"arxiv","version":2}},"canonical_sha256":"8a5b145f5bf5fc00a649d414c3fae6751054f304564690a29de231d9d183de7a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a5b145f5bf5fc00a649d414c3fae6751054f304564690a29de231d9d183de7a","first_computed_at":"2026-07-05T11:04:01.651026Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:01.651026Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5mdOSAKz0ZEW2TqV/5gOsxlYOOK6XyoZNM+ZKjh42Wr6cbQ5p3ifQx6zZMktZxy1RXT3Db2bTBWEWSb89iYpCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:01.651526Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.10502","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:702e62bc99ce7ba50427f404608f3607f59d56a6a01b886b4b44c1e5e733b421","sha256:b5e7d0b568959f45314c9c6d1bc0abc1c323f490e7d7666336a6b3de65c455e3"],"state_sha256":"831699d0d53862588dfb7cde04c3e57a2240732062fdbf383b7fbd37e6a531f3"}